1,721,029 research outputs found
Über Maligne Hyperthermie und warum wir im 21. Jahrhundert noch Fallberichte schreiben
A propos de l’hyperthermie maligne et pourquoi nous écrivons encore des cas cliniques au XXIe siècle
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Equivalence of care, confidentiality, and professional independence must underpin the hospital care of individuals experiencing incarceration.
We present the reflections of three clinical practitioners on ethical considerations when caring for individuals experiencing incarceration needing in-patient hospital services. We examine the challenges and critical importance of adhering to core principles of medical ethics in such settings. These principles encompass access to a physician, equivalence of care, patient's consent and confidentiality, preventive healthcare, humanitarian assistance, professional independence, and professional competence. We strongly believe that detained persons have a right to access healthcare services that are equivalent to those available in the general population, including in-patient services. All the other established standards to uphold the health and dignity of people experiencing incarceration should also apply to in-patient care, whether this takes place outside or inside the prison boundaries. Our reflection focuses on the principles of confidentiality, professional independence, and equivalence of care. We argue that the respect for these three principles, although they present specific implementation challenges, is foundational for implementing the other principles. Critically important are respect for the distinct roles and responsibilities of healthcare and security staff as well as transparent and non-hierarchical dialogue between them to ensure optimal health outcomes and functioning of hospital wards while balancing the ongoing tensions between care and control
Development and internal validation of a prediction model for long-term opioid use-an analysis of insurance claims data.
In the United States, a public-health crisis of opioid overuse has been observed, and in Europe, prescriptions of opioids are strongly increasing over time. The objective was to develop and validate a multivariable prognostic model to be used at the beginning of an opioid prescription episode, aiming to identify individual patients at high risk for long-term opioid use based on routinely collected data. Predictors including demographics, comorbid diseases, comedication, morphine dose at episode initiation, and prescription practice were collected. The primary outcome was long-term opioid use, defined as opioid use of either >90 days duration and ≥10 claims or >120 days, independent of the number of claims. Traditional generalized linear statistical regression models and machine learning approaches were applied. The area under the curve, calibration plots, and the scaled Brier score assessed model performance. More than four hundred thousand opioid episodes were included. The final risk prediction model had an area under the curve of 0.927 (95% confidence interval 0.924-0.931) in the validation set, and this model had a scaled Brier score of 48.5%. Using a threshold of 10% predicted probability to identify patients at high risk, the overall accuracy of this risk prediction model was 81.6% (95% confidence interval 81.2% to 82.0%). Our study demonstrated that long-term opioid use can be predicted at the initiation of an opioid prescription episode, with satisfactory accuracy using data routinely collected at a large health insurance company. Traditional statistical methods resulted in higher discriminative ability and similarly good calibration as compared with machine learning approaches
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Opioid Prescription in Switzerland: Appropriate Comedication use in Cancer and Noncancer Pain.
BACKGROUND
In Europe, limited information on the use of opioids is available.
OBJECTIVES
To assess how guideline recommendations to manage opioid-related adverse events were followed in cancer- and noncancer-related opioid use.
STUDY DESIGN
Analysis of health insurance data of one of the major health insurers in Switzerland.
SETTING
All opioid claims between 2006 and 2014.
METHODS
Opioid episodes were cancer-related when cancer treatments were used within ± 3 months of the first opioid claim. Recurrent strong episodes were defined as >/= 2 opioid claims with at least one strong opioid claim. Episode duration were acute (/= 120 days >/= 90 days +>/= 10 claims).
RESULTS
Out of 591,633 opioid episodes 76,968 (13%) were recurrent episodes: 94% were noncancer related (83% in recurrent episodes) and 6% cancer related (17% recurrent). Chronic opioid use was observed in 55% (noncancer) and 58% (cancer) recurrent episodes. Recommended laxatives were used in 50% noncancer and in 67% cancer episodes. Antiemetic drugs were used in 54% noncancer and in 83% cancer episodes. Not recommended coprescription of benzodiazepines was observed in 34% recurrent noncancer and 46% cancer episodes.
LIMITATIONS
No clinical information was available to assess the indication for opioid use.
CONCLUSIONS
In this study, opioids were primarily used outside the context of cancer-related treatment. In noncancer-related opioid use, we found a substantial higher proportion without recommended laxative and antiemetic medications. Coprescription of benzodiazepines may increase the risk for opioid overdose and was present in one-third of the noncancer episodes and in almost every second cancer episode
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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